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Monthly Archives: January 2021
What are the Advantages of Cloud Computing in Healthcare? – Healthcare Tech Outlook
Posted: January 17, 2021 at 8:58 am
The healthcare sector uses cloud computing to manage vast amounts of data and accurately offer healthcare providers.
FREMONT, CA: Lots of data is regularly generated in the healthcare industry. It has become necessary to make this data available to clinicians and patients remotely and safely. Healthcare cloud infrastructure helps institutions to break free from restrictions while providing improved patient experiences.
With a CAGR of 5 percent from 2019 to 23, healthcare is one of the fastest-growing market segments. The market and availability of alternatives is on the rise. It is due to variables such as an aging population, investments in infrastructure, the spread of chronic diseases, and more. There must be a change in the creation, use, storage, and sharing of healthcare data. That is why an easy, safe, and cost-effective solution can be provided by cloud computing.
By 2025, the cloud computing market for healthcare is expected to rise to USD 64.7 billion. Moving to the cloud is advantageous for both healthcare providers and patients. Cloud computing aims to minimize overhead spending for healthcare providers while giving quality, personalized care. In addition, using cloud technologies helps to push streamlined workflows, contributing to improved support. In addition, the health sector receives faster responses from patients. Cloud solutions also support connection to their healthcare data. It allows them to keep track of their wellbeing better.
Discover the Benefits of Cloud Computing in Healthcare
Manage more data easily
Lots of data is generated by healthcare and related industries. Medical images use a huge chunk of digital space, such as high-resolution scans. Throughout the life of the patient, such essential information needs to be safely saved. That is why, compared to physical space, cloud computing offers a more convenient storage option.
Avoid server management
Healthcare providers should not worry about cloud-based monitoring of their results. With skilled IT experts monitoring and managing the system, healthcare providers will concentrate on healthcare's essential aspects.
Gain cost benefits:
For healthcare providers, cloud computing makes it easier to track their payments. Moreover, there's no need to engage in a bulky, costly infrastructure. Selecting a cloud solution appears to be much more cost-efficient than setting up physical structures by customizing a plan that suits their specific needs.
Access at faster speeds
Increased patient numbers call for time-efficient access to patient data. Cloud servers can more easily upload, share, and retrieve information, resulting in more outstanding communication between healthcare staff, hospitals, research centers, and funding institutions.
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What are the Advantages of Cloud Computing in Healthcare? - Healthcare Tech Outlook
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By 2025, the cloud will be the key driver of business innovation – SiliconANGLE News
Posted: at 8:58 am
Today, most organizations think of the cloud as merely a technology platform. This perspective will shift markedly by 2025. Cloud will not only be a technological approach for delivering applications but will also serve as the key driver of business innovation.
The increasingly digital enterprise depends on technology to deliver competitive services and strong customer experiences, and the cloud will be at the center of most recent and emerging technological innovations:artificial intelligence, internet of things services, and edgeand quantum computing, to name a few.
As boards, chief executives and chief information officers expect shifts to their business models to match the rapid pace of change, few mainstream organizations will be able to do so without relying on cloud services. Thus, enterprises should expect cloud to be the pervasive style of computing over the next four years.
After all, there is no business strategy without a cloud strategy. Here are some predictions on the future of cloud that information technology leaders must consider in their digital strategies:
Nearly all companies will have a cloud-first principle by 2025 and cloud spend will surpass noncloud spend. In the Gartner 2020 Cloud End User Behavior study, for instance, nearly 70% of respondents indicated they will increase cloud spend in the next year.
Although some legacy IT such as wireless access points or mainframe computers will not move to the cloud, many other applications and workloads will be delivered via cloud, for example cloud servers, storage and networking.
Cloud will become the ubiquitous style of computing and any noncloud applications or infrastructure will be considered legacy by the time we reach 2025.
Cloud is already creating new business models and revenue streams. Over time, it will contribute to transforming IT departments from cost centers to enablers of digital business.
Gartner anticipates cloud enabling business innovation in three core ways:
Leading digital pioneers share several key strategies, and cloud is one of the common denominators for their success. They leveraged cloud services and principles to expand their services, optimize customer experiences and create and monetize new services.
In essence, these organizations evolved into platform businesses a trend that will become increasingly common by 2025. To compete with the digital giants, enterprises must become platform businesses.
In the Gartner 2020 I&O Executive Leaders survey, respondents indicated that the two most common innovation-led investments they planned to make were public cloud infrastructure-as-a-service and software-as-a-service.Sixty-three percent of respondents said that they already achieved growth, efficiency, innovation and other CEO priorities as an outcome of adopting cloud. Simply put, innovation is in the cloud.
In a 2018 Gartner survey, more than 80% of respondents indicated that their organization runs workloads in multiple clouds. Gartner characterizes this approach as unintentional multicloud.
In another Gartner study conducted in 2020, respondents were asked to identify the top reasons their organization uses multiple public clouds. They included improving availability, selecting best-of-breed capabilities and satisfying compliance requirements.
To that end, by 2025, 50% of enterprises will adopt intentional multicloud where they use cloud services from multiple public cloud providers for the same purpose (up from fewer than 10% today). This approach offers several benefits to organizations, such as reducing risk of vendor lock-in, maximizing commercial leverage and addressing broader compliance requirements.
Distributed cloud, another future-looking computing mechanism, is the distribution of public cloud services to different physical locations while operation, governance and evolution of the services remain the responsibility of the public cloud provider.
The Gartner 2020 Cloud End-User Behavior study shows more than three-quarters of respondents prefer to have cloud computing in a location of their choice. Thats why Gartner anticipates half of organizations will use distributed cloud by 2025, a substantial increase from today.
Cloud is already delivering on executives priorities and will become the foundation upon which IT leaders deliver on all CEO objectives. Prepare for the shift to the cloud by first ensuring strategy, architecture, security and procurement of the cloud are retained in-house, then working with IT to transform mindsets from control to adaptive cloud governance, and finally establishing a cloud center of excellence with a living cloud strategy.
Andrew Lerner is a vice president in Gartner Research covering enterprise networking with a focus on emerging technologies. Lerner covers data center networking and wide-area networking, including software-defined networking and SD-WAN. He wrote this article for SiliconANGLE.
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By 2025, the cloud will be the key driver of business innovation - SiliconANGLE News
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Healthcare Cloud Computing Market 2021- Overview, Size, Growth, Top Key Players, Analysis, Development Status and Industry Expansion Strategies 2023 …
Posted: at 8:58 am
iCrowdNewswire Jan 15, 202111:16 AM ET
Healthcare Cloud Computing Market Synopsis:
Market Research Future (MRFR) has published a report stating that the global healthcare cloud computing market is marked to expand at a remarkable growth rate in the upcoming years. Increased adoption of internet of things (IoT) in the healthcare sector of developed and developing regions are leading to the increased reliance on cloud-based services in the healthcare sector. Rise in demand for cloud-based platform to manage a large amount of unstructured data in the healthcare sector is majorly propelling the growth of the global healthcare cloud computing market. Proliferation in service providers that are coming up with innovative and optimized cloud computing solutions is also fueling the expansion of the global cloud computing market.
Latest Free Sample PDF Available @ https://www.marketresearchfuture.com/sample_request/6519
Healthcare Cloud Computing Market Segmentation:
The global healthcare cloud computing market has been segmented on the basis of applications, deployment, services, and end-user. Based on applications, the global Healthcare Cloud Computing Market has been segmented into non-clinical information system (NCIS) and clinical information system (CIS). Among these, the clinical information system (CIS) segment commands for the major share in the global healthcare cloud computing market owing to the increased volume of patient data as a result of high prevalence of chronic diseases and rise in geriatric population. Based on deployment, the global healthcare cloud computing market has been segmented into private cloud, public cloud, and hybrid cloud. The private cloud segment is projected to account for the major share in the global healthcare cloud computing market owing to the higher adoption of this service due to its better security. Based on service, the global healthcare cloud computing market has been segmented into infrastructure-as-a-service (IaaS), software-as-a-service (SaaS), and platform-as-a-service (PaaS).
Healthcare Cloud Computing Market Regional Analysis:
Geographically, the global healthcare cloud computing market has been segmented into Latin America, Europe, North America, Asia Pacific and the Middle East and Africa. The North America region commands the major share in the global healthcare cloud computing market owing to the presence of well-developed healthcare sector, rapid adoption of cloud-based solutions, constant technological advancement and high concentration of developed economies that are expanding their funding for advancement of healthcare services in this region. The Asia Pacific region is expanding significantly in the global healthcare cloud computing market owing to the rapid development of healthcare sector in the emerging economies, rise in awareness regarding the benefits of cloud-based services, and emergence for sophisticated platform to maintain the large amount of healthcare data that is present in an unstructured manner in this region. The healthcare cloud computing market in the Europe region is expanding at a noteworthy growth rate owing to the increased availability of players that are providing cloud-based services for data storage and data management in the well-developed healthcare sector and increased healthcare expenditure by the population in this region. Poor economic conditions and low penetration of technologically advanced healthcare services in the underdeveloped countries are slowing down the growth of the healthcare cloud computing services in the Middle East and Africa region.
Industry Updates:
In November 2018, ClearDATA, a Texas-based healthcare exclusive cloud provider, has secured USD 26 Mn in its latest funding as an investment for healthcare cloud computing services.
In December 2018, it has been announced that Magellan Health, an American for-profit managed healthcare company, is adopting software-as-a-service (SaaS) for identity management and other functions as a part of digital transformation.
Healthcare Cloud Computing Market Key Players:
The major players profiled by MRFR that are operating in the global healthcare cloud computing market are International Business Machines (IBM) Corporation, CareCloud Corporation, Nuance Communications, Agfa-Gevaert N.V., Merge Healthcare Inc., Carestream Corporation, Cerner Corporation, Microsoft Corporation, Oracle Corporation, ClearData Networks Inc., Sectra AB, GE Healthcare, athenahealth Inc., NextGen Healthcare, Siemens Healthineers, and Dell Inc.
Browse Complete Report @ https://www.marketresearchfuture.com/reports/healthcare-cloud-computing-market-6519
About Market Research Future:
At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.
MRFR team have supreme objective to provide the optimum quality market research and intelligence services to our clients. Our market research studies by Components, Application, Logistics and market players for global, regional, and country level market segments, enable our clients to see more, know more, and do more, which help to answer all their most important questions.
In order to stay updated with technology and work process of the industry, MRFR often plans & conducts meet with the industry experts and industrial visits for its research analyst members.
NOTE : Our team of researchers are studying Covid19 and its impact on various industry verticals and wherever required we will be considering covid19 footprints for a better analysis of markets and industries. Cordially get in touch for more details.
Contact:Market Research FutureOffice No. 528, Amanora ChambersMagarpatta Road, Hadapsar,Pune 411028Maharashtra, India+1 646 845 9312Email: [emailprotected]
Keywords:Healthcare Cloud Computing market, Healthcare Cloud Computing market 2021, Covid19 Impact on Healthcare Cloud Computing market, Healthcare Cloud Computing market trends, Healthcare Cloud Computing market size, Healthcare Cloud Computing market share, Healthcare Cloud Computing market report, Healthcare Cloud Computing market growth, Healthcare Cloud Computing market analysis, Global Healthcare Cloud Computing market, Healthcare Cloud Computing market research, Healthcare Cloud Computing industry, Healthcare Cloud Computing market scope
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Global Cloud Computing in Government Market Size, Status and Forecast 2020-2026 – NeighborWebSJ
Posted: at 8:58 am
This report focuses on the global Cloud Computing in Government status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Cloud Computing in Government development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
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The key players covered in this studyAdobe SystemsBlackboardCiscoEllucianDell EMCInstructureMicrosoftNetAppOracleSalesforceSAP
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Market segment by Type, the product can be split intoMobileIoTMulti-access Edge Computing (MEC)Market segment by Application, split intoTraining & ConsultingIntegration & MigrationSupport & Maintenance
Market segment by Regions/Countries, this report coversNorth AmericaEuropeChinaJapanSoutheast AsiaIndiaCentral & South America
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The study objectives of this report are:To analyze global Cloud Computing in Government status, future forecast, growth opportunity, key market and key players.To present the Cloud Computing in Government development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.To strategically profile the key players and comprehensively analyze their development plan and strategies.To define, describe and forecast the market by type, market and key regions.
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In this study, the years considered to estimate the market size of Cloud Computing in Government are as follows:History Year: 2015-2019Base Year: 2019Estimated Year: 2020Forecast Year 2020 to 2026For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
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Global Cloud Computing in Government Market Size, Status and Forecast 2020-2026 - NeighborWebSJ
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Neil Mackay’s Big Read: Why artificial intelligence will either be the saviour or exterminator of the human race – HeraldScotland
Posted: at 8:57 am
HERES how quickly, how dangerously, artificial intelligence is moving: one day after Brian Christian sat in his office, near Berkeley University in California, warning The Herald on Sunday about the imminent perils of a powerful AI being sent out onto social media by a rogue state to ramp up online hate and division, South Korea turned its worried attention to a character called Lee Luda.
Luda is just 20. She is a university student who gained 750,000 friends on Facebook in three weeks. The only problem is that Luda isnt a woman, or a student, or 20, or Korean. She is an Artificial Intelligence and she had to be removed from Facebook after causing outrage with attacks on sexual minorities and disabled people. What makes Luda even more troubling is that the AI has an almost identical name to a South Korean popstar Lee Lu-da. How long before theres a truly malevolent deep fake AI out there corrupting reality?
The Korean experience is a perfect example of what Christian, one of the worlds leading experts on AI, calls the alignment problem. How do we ensure AI creations match human norms and values? How do we prevent AI transgressing morality? How do we stop AI doing something dreadful in the real world?
Killer AI
THESE AIs have already killed people. One death occurred in Arizona when a woman wheeled her bike onto a road but didnt use a crossing. The AI of a passing self-driving car, Christian explains, wasnt properly programmed to understand that humans might appear on roads without using crossings, or might wheel bikes. So, the AI just drove over the confusing object and killed a human being.
Weve now reached a tipping point with AI which is why Christian has written his prescient new book, The Alignment Problem: How Can Machines Learn Human Values? Christian is uniquely qualified when it comes to warning us about the uncharted territory were entering with the crossover between human and machine intelligence. He is a computer scientist and philosopher by training, and currently scientific communicator-in-residence at the Simons Institute for the Theory of Computing at Berkeley University the metaphoric heart and soul of Silicon Valley. He is also an affiliate of the Centre for Information Technology Research in the Interest of Society, and the Centre for Human-Compatible AI. If there is anyone who understands the risks of humanitys grand experiment with AI, its Christian.
Dont make the mistake of thinking AI is some geeky oddity confined to the realms of sci-fi and self-driving cars. AI is in your life right now. All around the world, if you apply for a mortgage, or seek credit, AI decides yes or no. AI is inside the justice system, advising judges in America whether its safe to let a prisoner out on bail. Police and intelligence services use AI to surveil us.
AI advises Western military powers on drone targets. Politicians routinely use AIsometimes without even knowing it to make judgments about how they govern our lives. Doctors depend on AI to help with diagnoses. There are neural networks in your phone, sorting pictures of your partner into individual albums without you asking. AI is now part and parcel of modern life but were only in the foothills of where this technology might take us. The abilities of AI are accelerating at an astonishing rate already some AI is so human-like it mirrors how the brain uses the neurotransmitter chemical dopamine.
Horror story
Christian says we need to think about two old horror stories when we consider AI. First, theres The Sorcerers Apprentice the tale of a young magician who casts a spell on a broom, making it carry water for him. However, the young magician has no idea how to break the spell, so the broom/slave keeps carrying water until his house is flooded. Then theres The Monkeys Paw the story of bereaved parents who use an enchantment to bring their son, who died in a horrible accident, back to life. What returns from the cemetery, though, is beyond their worst nightmares.
Beware what you ask for, the stories warn and we need to be very careful what we ask AI, and the instructions we give an AI to carry out the tasks we assign it. For example, there are cases of AIs used in job hiring. The AI looks at a companys employee history and sees 80 per cent of past workers are male and white so the AI modifies its hiring policy to exclude most black people and women.
When AIs like Lee Luda are tasked with engaging in conversation, they have usually been fed the entire internet in order to understand how humans talk. Of course, humans online are fairly horrible so the AI just copies our worst excesses. AIs have captioned photographs of black people as gorillas because humans use such slurs online.
The wilful child
AI IS like a child, says Christian. Youre worried about it falling in with the wrong group of friends.
There is also the question of whether humans are even ready for such technology. Christian wonders if the leap forward promised by AI might decades from now be seen as revolutionary as the invention of agriculture which completely transformed humanity. It has been said that modern humans have Palaeolithic brains, medieval institutions and godlike powers AI makes that abundantly clear. Some of the greatest scientific minds have used the analogy of a foal and a stallion to explain humanitys limited emotional intelligence versus our technological prowess. The foal is our emotional intelligence barely able to totter, while our technological prowess is the stallion, galloping across the plains. Theres a serious mismatch and the foal needs to catch up.
Christians mission is to bring a sense of crisis to humanity over AIs civilisational risks and present-day misuses. This, he feels is the defining project of the next decade. Christian points out that he once had a conversation with Elon Musk, the tech tycoon. Musk asked him: Give me one good argument why we shouldnt be worried about AI? If AI unsettles Musk, we know were in trouble. Scientists in industry and academia are increasingly worried that AI has developed too fast for us to properly prepare for its dangers.
The incredible acceleration in the capacity of what machine-learning systems can do and the steady proliferation of these systems into the decision-making apparatus of our society makes the question of safety critical, Christian says.
Job destruction
Until recently, most concerns around AI have centred on job losses the robot replacing the human. AI is now clever enough to take on roles in creative industries. AIs can write sports reports basic articles about who scored and when. An AI can take a 100-page document about a companys finances and turn it into an accurate business report in seconds. Christian explains: You can say write me a five-paragraph essay about a Peruvian explorer encountering a tribe of unicorns in the Andes and itll just write stuff.
But jobs losses are simply one of the risks of the rise of AI. The idea of a truly powerful AI being harnessed for bad intent by some malevolent state is the stuff of genuine nightmares. Christian says well shortly see AIs on social media in a way which makes the Korean example seem positively benign. If we think the excesses of Twitter and Facebook in the Trump era are bad, we aint seen nothing yet.
Social media hell
How does our public discourse survive the ability to generate human level speech at scale just a firehose of internet comments? Christian asks. We are very, very close, he believes, to being able to place an AI in cyberspace which engages in a way that appears truly human, forever. Imagine a system that can advocate for a particular worldview political, corporate, religious, ethnic tirelessly, debating with billions of people 24 hours a day A tidal wave is coming, Christian says. That same AI could argue both sides of the same debate pro- and anti-Brexit, perhaps simultaneously.
Christian notes with irony that some AI systems used by social media giants were initially invented for video games. Were now being played.
Genocide by AI
Lets say one day we do crack the problem of aligning AI with human wishes that we discover the secret formula which negates the risk of a Sorcerers Apprentice scenario. Even if we did pull off that feat, whats to say that the human instructing the AI isnt themselves bad? A machine may be aligned to human wishes, but what if those human wishes were evil? What, asks Christian, if the wishes of the human commanding the AI were the creation of a religious ethno-state? Alignment is in the eye of the beholder. For some, the perfectly aligned AI might be capable of the perfect genocide.
There is no alignment problem, he says, if you want someone to get killed and the machine kills them thats aligned.
Redemption?
Christians vision is truly frightening at times, but he does see some possibility of hope. The very fact that AI seems to be opening our eyes to our own darkest side the way its exposing humanitys innate racism and sexism may act as a spur to deal with these moral failings. For example, ask some AIs to answer the logic question what is doctor minus man plus woman and youll be told nurse as if doctors are always men and nurses always women when the answer should, obviously, still be doctor. Think how often we refer to mankind. The machine just learns from us and responds accordingly.
AI holds up a mirror to ourselves, Christian says. Perhaps the shock of looking in that mirror will make us better as a species. At least thats the redemptive vision, he says. The bottom line is that AI wont change for the better unless we change it will be bad if were bad. And that question of change is vital. AI doesnt just have to align with human values today, but adapt its moral alignment as our own values change over time. Imagine if we fixed the alignment problem right now. Would people a century from now want to live by our standards? Youd hate to live in a world run by the aligned AI of the 15th century, Christian notes.
Its a hell of a thing were asking. In effect, were on the road to sentient machines, and we need to make them capable of responding to human emotions, needs and morality with pinpoint accuracy. It may never be possible and thats where the dystopia lies.
Utopia
The flip side of dystopia, of course, is utopia, and some have faith that AI could lead to a golden future. Christian ponders whether AI if its ever able to be harnessed correctly might one day help us raise the level of human happiness worldwide. Might it find a way to deal with the climate crisis? Tackle poverty? In effect, teach us to be better people.
He also speculates AI might give us a greater, more humble understanding of ourselves. At a certain point, Christian says, were going to transition to a world where people just accept that human minds are one type of mind among many. Might our realisation that machines are smarter, more powerful, than us cause humans to start treating the creatures of the Earth with more dignity and decency?
Dependent blobs
Of course, we could just become dependent blobs fed, watered, and entertained by the omniscient AI. It raises the spectre of a world like the one EM Forster imagined in The Machine Stops where humans live a soulless existence micro-managed by a grand worldwide artificial intelligence. We may well get that future if we uncritically keep treading the path were treading, Christian says.
And weve certainly been uncritical until now. In terms of regulation, largely speaking weve done next to nothing, according to Christian. There is some general data regulation but nothing substantive to rein in any potential risks from AI. In just a few years, weve entered a world where AI can kill pedestrians, rant on Facebook, decide your credit rating, and racially profile job candidates. As Christian points out: If we dont manage AI properly, weve a pretty good idea where we go because were there. We havent managed it properly. We really are living through the scenario of The Monkeys Paw. So what is Christians vision of the future? Rather than some Terminator-style catastrophe where the Earth is reduced to smouldering rubble, he says, imagine a world which is like a Kafkaesque bureaucracy that nobody really understands or feels theyve control over. Its a world where the AI system determines everything for you whether you get this job, or that house. A bit like the Little Britain sketch Computer Says No except theres no human at the keyboard, just the AI.
Self-destruction
Until now, Christian says, humans have managed to escape the worst effects of our own stupidity because were incompetent. The only reason theres any tuna left in the ocean is because we didnt have enough boats to fish them all, he says. AI solves the competence part but not the wisdom. That could be a recipe for self-destruction. Imagine if a century ago AI had helped us extract all the coal from the ground and burn it?
Obviously, science can never be reversed, and even if we wanted to ban advances in AI it would be impossible. You can stop people developing nuclear weapons by preventing access to enriched plutonium, says Christian, but all it takes to do AI is a computer off the shelf. What do you regulate?
Singularity
Perhaps we need to change what it means to work in the computer industry. If you train to become a civil engineer, Christian says, you dont take a course called bridge safety thats what it means to be a civil engineer. Safety is intrinsic to the notion of what youre doing in your field. AI needs something like that. With universities increasingly including ethnics courses for computer engineers, Christian says he hopes to see a professional licence for programmers within a decade.
Its like were founding a new nation, he says, and we need to figure out what we stand for AI is an experimental Wild West that we need to get serious about. If its a wild west then we need to invent a sheriff. But what if it all spins out of control before we do get serious, before we hire the sheriff? What if the so-called singularity arrives first the moment when a machine reaches the same level of intelligence as a human, and then gets smarter and smarter, bigger and bigger? Is that possible?
Christian says there are three schools of thought: the sceptics, who say its merely a distant possibility; the hard take-off people who say this isnt a drill, and one day soon boom, itll take off like a rocket and suddenly overnight weve a new world order; and the soft take-off people like him. Human-level AI is essentially inevitable, he says. Were well on the way. The world isnt going to change overnight, with governments suddenly subjugated by a super-computer. I think were like the frog boiling one degree at a time. We dont realise we need to jump out of the pot.
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The Fear of Artificial Intelligence in Job Loss – Analytics Insight
Posted: at 8:57 am
With all the hype over Artificial Intelligence, there is additionally a lot of disturbing buzz about the negative results of AI. These fall comprehensively into three categories: job loss, ethical issues, and criminal use.
More than one-quarter (27%) of all employees state they are stressed that the work they have now will be disposed of within the next five years because of new innovation, robots or artificial intelligence, as indicated by the quarterly CNBC/SurveyMonkey Workplace Happiness review.
In certain industries where technology already has played a profoundly disruptive role, employees fear of automation likewise run higher than the normal: Workers in automotives, business logistics and support, marketing and advertising, and retail are proportionately more stressed over new technology replacing their jobs than those in different industries.
42% of workers in the logistics industry have better than expected worries about new technology replacing their jobs. The dread stems from the fact that the business is already witnessing it. Self-driving trucks already are compromising the jobs of truck drivers, and it is causing a huge frenzy in this job line.
In a new paper published in the Findings of Empirical Methods in Natural Language Processing (EMNLP), Assistant Professor Xiang Ren and PhD understudy Yuchen Lin at the University of Southern California found that notwithstanding critical advances AI actually doesnt have the common sense required to create conceivable sentences. As Lin disclosed to Science Daily, Current machine text-generation models can compose an article that might be persuasive to numerous people, yet theyre essentially mirroring what they have found in the training stage.
Where these models fizzled was in depicting regular situations. Given the words dogs, frisbee, toss, and catch, one model concocted the sentence Two dogs are tossing frisbees at one another. Nothing incorrect in that aside from that it misses what we know through common sense, viz that a canine cant toss frisbees.
Another study of Blumberg Capital of 1,000 American adults found that about half are prepared to accept new tech, while the other half are frightened it will remove their jobs. One surprising finding: Most individuals (72%) comprehend that A.I. is proposed to remove the exhausting, dull parts of what they do, freeing them to concentrate on more perplexing and intriguing tasks. All things considered, 81% are so fearful of being supplanted that theyre reluctant to surrender their drudge work to an algorithm.
When AI dispenses with jobs (all the more precisely, the requirement for them), there is the undeniable loss of pay. This implies less disposable income and a decrease in spending on nice-to-have goods and luxuries. Less demand compels costs to drop. If costs dip under a level where commodity margins are threatened, the organization and at last the business, will crease.
Costs of fundamental products will keep on dropping, however contracting margins are somewhat offset by diminishing operational costs (on account of AI-driven automation). Food costs, for instance, could go down.
Society overall should then wrestle with the more profound social, financial, and mental consequences of permanent net job losses caused by AI. In reassurance, the deficiency of jobs without (hopefully) loss of lifestyle should give us the time and opportunity to consider these issues.
Sociologists will be compelled to rethink and re-plan their models of human association and organization. Financial specialists will be compelled to reevaluate incentives and agency relationships. Politicians will be compelled to create a new manner of speaking for their platforms when the customary political posturings will get moot. Schools will be compelled to battle with a deschooled society.
In any case, the day isnt far, caution the analysts, when AI agents will create more commonsensical responses. Already media startups for example, Knowhere and Patch have incorporated AI into their working and even legacy newspapers are fusing a few components of it into their day-to-day working. However, an opinion piece is still some way off.
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The Fear of Artificial Intelligence in Job Loss - Analytics Insight
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Artificial Intelligence app checks if people are wearing face masks – Innovation Origins
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Since December 1, 2020, it has been mandatory to wear a face mask in public places in the Netherlands. This has already been compulsory in public transport for some time. It can be quite difficult for employees to keep an eye on whether everyone abides by this rule. Which is why ML6 developed an AI application that can tell when people are not wearing a face mask.
Companies can use the AI application to do a better job of checking whether employees and visitors are complying with the face mask requirement. An audible alert sounds when someone is not wearing a face mask, or is not wearing the face mask properly.
A computer and a camera are required to use the application. The app connects to the camera and displays this image on a computer while the app monitors people inside a building using a facial recognition model. In addition to the recognition model, the app also uses a model that allows the app to see if someones mouth is visible, which invariably shows if someone is wearing a face mask.
The company says it is a time-consuming task for staff to check if everyone is actually wearing a proper form of face covering. The app can automatically check if the rule is being followed.
ML6 has released the code and instructions for use free of charge, and the program can be used in all places where masks are mandatory. The company contends that it is contributing to the fight against the coronavirus with this application.
Also interesting:Greater accuracy in the analysis of medical imaging data thanks to AIAI makes driving a car safer, but steering it yourself still feels better
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How to Explain the Future of Artificial Intelligence Using Only Sci-Fi Films – BBN Times
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Ive read the bookLife 3.0by physicist & AI philosopherMax Tegmark,where he sets out a series of possible scenarios and outcomes for humankind sharing the planet with artificial intelligence.
Im going to summarise it here using a series of sci-fi films as a mental shortcut or go-to reference for each bulletpoint.
Tegmark immediately shoots down any notion that we are likely to be victims of a robot-powered genocide, and claims the idea we would programme or allow a machine to have the potential to hate humans is preposterous - fuelled by Hollywoods obsession with the apocalypse. Actually, we have the power, now, to ensure that if AIs goals are properly aligned with ours from the start, so that it wants what we want, then there can never be a falling out between species. In other words, if AI does pose a threat - and in some of his scenarios it does - it will not come fromThe Matrixsmarauding AIs,enslaving humanity and claiming, like Agent Smith,Human beings are a disease. You are a plague and we are the cure.
Conversely the idea that AI will deliver some sci-fi utopia, where human beings are finessed to perfection - like inStar Trek- also bothers him. Complacency and arrogance are also an enemy of progress, it seems.
Rather and crucially, Tegmark wants us to chart a course between those two poles. A middle way, steering between techno-apocalypse and techno-utopia, driven by cautious optimism, the building of safeguards and safety nets, and very big off-switches. HisFuture Of Life Institute,featuring such luminaries as Elon Musk, Richard Dawkins and the late Stephen Hawking, is a think-tank designed to tackle and solve these specific issues, now, before they become a problem.
So if machines will never hate humans, why do we need an off-switch? Because despite our best efforts, machines go wrong. All the time.For Tegmark, its less about evil androids and rampaging robots, and more about the innate unreliability of technology. He asks: how many of us have had a blue-screen of death, or a computer says no moment which has seriously inconvenienced us? When AIs become part of our daily lives, and in some cases we place that life in their hands, how safe are we from a catastrophic failure of an algorithm?
In2001: A Space Odysseythe ships computer HAL3000 makes an error of judgement about the need replace a component, sending astronauts Bowman and Poole on a series of perilous space walks to replace the unit, which results in Pooles death. When Bowmans questioning of HAL, an attempt to get behind the black-box logic of the decision, ends in a deadly standoff, [Open the pod bay doors, please, HAL] Bowman has no option but to go for the turn it off and turn it on again approach, deactivating HALs circuitry.
In other words, in the future having Artificial Intelligence IT issues might cost you your life. For the author, this will always be a more pressing concern than aTerminatorstyle wipeout.
In the opening scenes ofI, Robot,we see a host machines performing everyday tasks such as delivering post and emptying rubbish bins. Tegmark warns of threats to jobs, citing any vocation that relies on pattern recognition, predictable repeated actions or manual labour to be most at threat.
Today we see production lines supplemented by automated machines, for instance the car industry. Tomorrow, he contends, it may be legal work, with AIs rapid scanning documents for legal precedents and case studies. Or, indeed, soldiers, with autonomous military equipment set to be a hot topic for the next decade.
His takeout, ultimately, is if you dont want to be replaced by a robot, look for a job that is creative, involves unpredictability and requires human empathy, with artists and nurses being two roles he cites as safe. For now.
There is a fear that if we create a superintelligence that recursively self-improves itself to build a replacement thats smarter than its originator, then humans will effectively lose control over their creation. The issue is whatever thought experiment you perform to plan to control your super intelligent AI will fall at the first hurdle for one reason: theyll always be able to outsmart your constraints, by definition.
We see this in inEx Machina, where an artificially intelligent android is locked deep in a high security vault - but having been programmed to optimise its own escape as a test of its own abilities - seduces and woos lonely scientist Domhnall Gleason into setting it free, outsmarting him using sex to leverage his emotional weak spot.
Tegmark, referencing another expert in the field,SuperintelligenceauthorNick Bostrom, suggests that whilst recursive superintelligence is probably inevitable, what we can do is concentrate on controlling the speed of its evolution in order to make the necessary preparations for that inevitable arrival.
Casting his net far into the future, Tegmark concludes the book by postulating on the future of the human race once sentient, artificial general intelligence (AGI) has arrived.
He lays out a few possible scenarios. First, AIs as productive citizens, living alongside us and respected by us as conscious beings. Its a controversial subject, but if a machine believes itself to be conscious and has subjective experiences, is that any different from a human who feels the same? Without solving the hard problem of consciousness, we cannot rule it out. The filmBicentennial Man, starring Robin Williams, explores these issues in great detail.
Second, Tegmark wonders if AIs are an evolutionary replacement for humankind, their ultimate purpose fulfilled in the creation of the next phase of life. InSpielbergs A.I,Jude Law states to fellow android David,When the end comes, all that will be left is us. This is fulfilled in the final scenes, where the life-like David is excavated by a series of hyper-advanced AI beings, who now view him as the last remaining connection to the human race.
Third, Tegmark ponders if a way to mitigate against the human races replacement is via merging with AI. If AI and humans are one and the same thing, and there is no us and them, we cannot be in conflict. Here he references the filmTranscendence, featuring Johnny Depp as a dying scientist who digitally uploads his consciousness, before gaining the power to manipulate matter at an atomic level, and become a digital demi-god.
The key point behind this brain-melting philosophy can be summarised thus: we are now at a juncture where we need to start having real conversations about what we want the human race to be over the coming centuries. Polarising the debate by conjuring up images of robo-apocalypses or digital rapture into a cyber-heaven, Tegmark feels, are not helpful when informing the debate.
So lets start that debate, using intelligence and moderation. How do you want to share your life with AI?
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MUSC student used artificial intelligence to find patients at risk for COVID complications – Charleston Post Courier
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When the COVID-19 pandemic forced the Medical University of South Carolina to suspend clinical rotations used to train students in health care settings, Alan Snyder had an idea.
He was third-year medical student this past spring and was in the middle of a dermatology rotation when he was sent home and required to transition to online learning. But instead of sitting back and letting the pandemic run its course, Snyder devised a new way to reach patients.
Using an artificial intelligence model developed by Jvion, a Georgia-based health care AI firm, Snyder combined Census tract information with the MUSC patient database to identify thousands of adults who faced a high risk of developing serious complications should they contract COVID-19.
But this was just the start. Snyder then mobilized more than 150 volunteers, ranging from students to retirees, across the state to call these at-risk patients and educate them about coronavirus safety protocols. Over the course of 41 days last year, these volunteers made 1,370 calls to 814 patients and were able to help more than 50 percent of "extremely high-risk patients" activate their online MyChart accounts, which are used to store electronic medical records and connect patients with their providers.
Not only that, in a few cases, the volunteers associated with the project were able to pinpoint cases of elder abuse and medical emergencies and connect patients with social workers and care almost immediately.
"Necessity brings out innovation," said Snyder, now completing his fourth and final year at MUSC. "I was scared. How could I help other people? Thats my job as a health care professional. It seems like something that was useful for my time."
Dr. Lancer Scott, the section chief of emergency medicine at the VA hospital in Charleston and a faculty member at MUSC, said when he first heard about Snyder's idea for the project, "the hairs stood up on the back of my neck."
"Find me a group in this state that is working on preventive measures on the front end of COVID instead of contact tracing on the back end," Scott said. That's what makes Snyder's idea so unique, he said.
"Its not just a model for COVID. ... It's a model for vulnerable populations," Scott said. "If there was a Nobel Prize for medical students, Alan should get it. Its really amazing."
Snyder presented his results (remotely) during the virtual American Medical Association Research Symposium in December. He is currently applying to residency programs and crunching data collecting through his project to determine if the outreach to patients did, in fact, prevent any COVID-related hospitalizations or deaths.
"There are a lot of people behind the scenes who put their heart and time into this," Snyder said. "Its something that Im really proud of."
Reach Lauren Sausser at 843-937-5598.
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Consistent Growth seen in Artificial Intelligence in Mental Health Care Market 2021-2027 | IBM Watson AI XPRIZE. Acadia Healthcare Co., Inc.,…
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